Deep graph reinforcement learning based intelligenttraffic routing control for software-defined wirelesssensor networks

HIGHLIGHTS

• who: Ru Huang and colleagues from the School of Information Science and Engineering, East China University of Science and Technology have published the paper: Deep Graph Reinforcement Learning Based IntelligentTraffic Routing Control for Software-Defined WirelessSensor Networks, in the Journal: (JOURNAL)
• what: The authors propose a reinforcement learning (DGRL) model-based intelligent traffic control scheme for SDWSNs which combines convolution with deterministic policy gradient. The authors compare the literatures using reinforcement learning mentioned above and summarize them in Table 1. The model proposed in this paper is based on the deterministic policy gradient and this . . .
  

   

  

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